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Digital video has become an almost infinite source of to-be-[[wikipedia:Found footage (film technique)|found-footage]] which is accessible to anyone, anytime through platforms like YouTube, which are essentially databases for moving images of almost any kind. They enabled pop culture phenomenons like supercuts: compilations of short shots of the same action, or [https://www.youtube.com/results?search_query=ytp YouTube Poop] mashups of videos with a comical and at times immature humour: Today, meta information, close captions, machine learning analysis and music information retrieval can provide the means to generate automated edits. Real-time reassembly of media fragments based on databases, feature extraction or meta-information has become entirely feasible. In the class Computer's Cut — Generative Video Editing we will learn to let algorithms cut and edit. | Digital video has become an almost infinite source of to-be-[[wikipedia:Found footage (film technique)|found-footage]] which is accessible to anyone, anytime through platforms like YouTube, which are essentially databases for moving images of almost any kind. They enabled pop culture phenomenons like supercuts: compilations of short shots of the same action, or [https://www.youtube.com/results?search_query=ytp YouTube Poop] mashups of videos with a comical and at times immature humour: Today, meta information, close captions, machine learning analysis and music information retrieval can provide the means to generate automated edits. Real-time reassembly of media fragments based on databases, feature extraction or meta-information has become entirely feasible. In the class Computer's Cut — Generative Video Editing we will learn to let algorithms cut and edit. | ||
==Links== | ==Syllabus== | ||
==Assignments== | |||
==Final work== | |||
== Files== | |||
* [https://github.com/BauhausUniversity/cuttlefish/tree/master Cuttlefish] Python scripts and tools | |||
* [[Audiovideo]] Pure Data Workshop | |||
== Links == | |||
* [[Audiovision Linkliste]] | |||
* [https://medium.com/janbot/a-brief-history-of-algorithmic-editing-732c3e19884b Clint Enns: A Brief History of Algorithmic Editing] | |||
* http://thisunruly.com | |||
* http://reorder.tv | |||
* https://www.reclaimingremix.com | |||
* [https://journal.transformativeworks.org/index.php/twc/article/view/371/299 A history of subversive remix video before YouTube: Thirty political video mashups made between World War II and 2005] | |||
* [[wikipedia:Edit decision list]] EDL | |||
* [[wikipedia:Regular expression]] Online regex tester: [https://regex101.com RegEx101] | |||
* David Claerbout - The pure necessity https://www.instagram.com/p/B3nHj-MgEyj/ & https://davidclaerbout.com/The-pure-necessity-2016 | |||
== Software == | |||
* [[Audio tools]] | |||
* [[Video tools]] | |||
* [https://code.visualstudio.com Microsoft Visual Studio Code] Editor <span style="color:#008000>(open source)</span> | |||
** [https://vscodium.com VSCodium] Visual Studio Code without the Microsoft telemetry <span style="color:#008000>(open source)</span> | |||
* [https://www.videolan.org VLC] Media Player (helps you downloading YouTube videos: copy YouTube URL, open in VLC as network stream, then go to Tools -> Media Information, copy the Location and paste back into the Browser from where you can save it) <span style="color:#008000>(open source)</span> | |||
* [https://downsub.com downsub.com] Web service to get the subtitles from a YouTube video <span style="color:#ff0000 >(web-service)</span> | |||
* [http://www.aegisub.org Aegisub] Subtitle Editor <span style="color:#008000>(open source)</span> | |||
* [https://www.praxislive.org Praxis Live] <span style="color:#008000>(open source)</span> | |||
* [https://python.org Python] (great [https://www.youtube.com/watch?v=_uQrJ0TkZlc video tutorial] for beginners) <span style="color:#008000>(open source)</span> | |||
** [https://pyscenedetect.readthedocs.io PySceneDetect] can autonatically detect scene changes in video and segment footage into clips <span style="color:#008000>(open source)</span> | |||
** [https://jupyter.org Jupyter Notebook] <span style="color:#008000>(open source)</span> | |||
* [https://pjreddie.com/darknet/yolo/ YOLO: Real-Time Object Detection] <span style="color:#008000>(open source)</span> | |||
* [https://github.com/deepfakes/faceswap Deepfakes Faceswap] <span style="color:#008000>(open source)</span> | |||
* [https://github.com/apreshill/bakeoff apreshill/bakeoff] <span style="color:#008000>(open source)</span> | |||
* [https://github.com/NVlabs/few-shot-vid2vid NVlabs/few-shot-vid2vid] <span style="color:#008000>(open source)</span> | |||
==See also== | |||
* [[Open Frameworks]] | |||
* [[Processing]] | |||
* [[Pure Data - Getting started]] | |||
[[Category:WS21]] | [[Category:WS21]] | ||